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Install in OpenClaw
/install stock-dividend
Description
Evaluate dividend yield, payout safety, growth, and income quality for stocks through AISA. Use when: the user asks about dividend safety, income investing,...
Usage Guidance
This skill appears to do what it says (dividend analysis via an AISA model) and only requires a single API key (AISA_API_KEY). Before installing:
- Verify the AISA API host: the script defaults to https://api.aisa.one/v1 but also reads AISA_BASE_URL (not declared). Do not set AISA_BASE_URL to unknown hosts; if you inherit this skill, inspect the code and keep the base URL pointed to the official provider.
- Note AISA_MODEL can be overridden via env; confirm which model you want used and that it is trustworthy.
- The script uses the openai Python client (commented dependency). Ensure dependencies are installed from trusted sources and run the skill in an isolated environment if you have concerns.
- The skill's prompts instruct the model to fetch live financial data; understand that live-data retrieval will be performed by your AISA account and may involve remote queries through that service.
- If you require stronger guarantees, request the author to declare AISA_BASE_URL and AISA_MODEL in the skill metadata and to document their intended values, or remove the override capability.
If you can't confirm the base URL and model provenance, treat this as potentially risky and consider running the code in a sandbox or rejecting installation.
Capability Analysis
Type: OpenClaw Skill
Name: stock-dividend
Version: 1.0.0
The skill is a legitimate financial analysis tool designed to evaluate stock dividends using the AIsa API (api.aisa.one). The Python script (scripts/dividends.py) uses standard API interaction patterns, and the instructions in SKILL.md include explicit safety guidelines directing the agent not to access sensitive local credentials or browser data.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description align with the code: the Python script performs dividend analysis and calls an LLM-style AISA API using an API key (AISA_API_KEY). Required binary (python3) is appropriate and the script's behavior (prompting a model to fetch live financial data) matches the declared capability.
Instruction Scope
SKILL.md instructs running the bundled Python script as the runtime. The script does not access local secrets or files, but it embeds prompts that instruct the model to 'fetch live data' with 'built-in financial data tools' (relying on the external AISA tool integration). The script also reads environment variables (AISA_BASE_URL, AISA_MODEL) that are not declared in SKILL.md/metadata, which is an out-of-band control over where requests go and which model is used.
Install Mechanism
This is instruction-only with no install spec (lowest risk). There is a commented dependency on the openai Python package in the script header, but no installer is invoked by the skill itself. That means failures may occur if the runtime doesn't provide the dependency, but there is no automatic download of arbitrary code.
Credentials
Declared required credential (AISA_API_KEY) is appropriate. However, the script consumes additional environment variables (AISA_BASE_URL and AISA_MODEL) that are not declared as required. AISA_BASE_URL in particular can redirect requests to an arbitrary endpoint, which could be used to exfiltrate prompt/data if set maliciously. The number of required secrets is small, but the undocumented overrideable endpoint is a proportionality concern.
Persistence & Privilege
The skill is not always-enabled and is user-invocable. It does not request persistent system presence or modify other skills/config. No elevated privileges are requested.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install stock-dividend - After installation, invoke the skill by name or use
/stock-dividend - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of stock-dividend skill.
- Evaluates dividend yield, payout safety, growth, and income quality for stocks using AISA.
- Designed for questions on dividend safety, income investing, dividend growth, or dividend aristocrat screening.
- Requires an AISA API key and Python 3 runtime.
- Provides clear guidance on when to use or avoid the skill.
- Includes example queries and usage instructions.
Metadata
Frequently Asked Questions
What is stock-dividend?
Evaluate dividend yield, payout safety, growth, and income quality for stocks through AISA. Use when: the user asks about dividend safety, income investing,... It is an AI Agent Skill for Claude Code / OpenClaw, with 71 downloads so far.
How do I install stock-dividend?
Run "/install stock-dividend" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is stock-dividend free?
Yes, stock-dividend is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does stock-dividend support?
stock-dividend is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created stock-dividend?
It is built and maintained by bibaofeng (@bibaofeng); the current version is v1.0.0.
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